Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.3960  0.0029  0.0826  0.3220  0.4928  0.40
Anderszewski 2003   54  0.3769  0.0038  0.0633  0.249  0.5929  0.38
Ashkenazy 1981   32  0.4134  0.0047  0.0648  0.0669  0.0668  0.06
Bacha 2000   72  0.2928  0.0042  0.0644  0.1126  0.3642  0.20
Badura 1965   76  0.2444  0.0085  0.0386  0.0379  0.0386  0.03
Barbosa 1983   27  0.4221  0.0031  0.0740  0.1524  0.4040  0.24
Biret 1990   63  0.3289  0.0056  0.0564  0.0515  0.5944  0.17
Blet 2003   9  0.4836  0.0024  0.0920  0.4311  0.6416  0.52
Block 1995   1  0.601  0.211  0.201  0.772  0.791  0.78
Blumental 1952   67  0.3161  0.0069  0.0651  0.0636  0.2156  0.11
Boshniakovich 1969   23  0.4440  0.0011  0.1110  0.5512  0.5913  0.57
Brailowsky 1960   53  0.3770  0.0041  0.0738  0.1810  0.6131  0.33
Bunin 1987   79  0.2285  0.0081  0.0381  0.0361  0.0581  0.04
Bunin 1987b   78  0.2262  0.0082  0.0476  0.0456  0.0672  0.05
Chiu 1999   4  0.5311  0.0132  0.0743  0.1447  0.1055  0.12
Cohen 1997   49  0.3814  0.0133  0.0637  0.1924  0.4633  0.30
Cortot 1951   60  0.3635  0.0054  0.0470  0.0426  0.4353  0.13
Csalog 1996   40  0.4037  0.0066  0.0745  0.0728  0.3445  0.15
Czerny 1949   68  0.3065  0.0034  0.0535  0.2118  0.6930  0.38
Czerny 1990   74  0.2866  0.0068  0.0654  0.0655  0.0770  0.06
Duchoud 2007   65  0.3186  0.0067  0.0649  0.0654  0.0667  0.06
Ezaki 2006   71  0.3082  0.0070  0.0562  0.0543  0.1858  0.09
Falvay 1989   70  0.3072  0.0072  0.0563  0.0558  0.0571  0.05
Farrell 1958   82  0.2276  0.0079  0.0471  0.0460  0.0578  0.04
Ferenczy 1958   81  0.2246  0.0077  0.0380  0.0333  0.5352  0.13
Fliere 1977   6  0.5115  0.0119  0.0918  0.4636  0.4522  0.45
Fou 1978   35  0.4173  0.0037  0.0632  0.2430  0.3634  0.29
Francois 1956   22  0.4477  0.0025  0.0917  0.4614  0.6714  0.56
Friedman 1923   36  0.4127  0.0064  0.0559  0.0548  0.1065  0.07
Friedman 1923b   34  0.4153  0.0058  0.0469  0.0449  0.0969  0.06
Friedman 1930   29  0.4225  0.0060  0.0473  0.0442  0.1863  0.08
Garcia 2007   39  0.406  0.039  0.1111  0.539  0.6411  0.58
Garcia 2007b   83  0.1858  0.0083  0.0383  0.0376  0.0388  0.03
Gierzod 1998   77  0.2374  0.0073  0.0556  0.0562  0.0575  0.05
Gornostaeva 1994   16  0.455  0.105  0.169  0.559  0.717  0.62
Groot 1988   31  0.4238  0.0030  0.0823  0.4041  0.1738  0.26
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   17  0.4447  0.0027  0.0930  0.2632  0.2835  0.27
Hatto 1997   56  0.3678  0.0055  0.0468  0.0432  0.2262  0.09
Horowitz 1949   57  0.3652  0.0065  0.0647  0.0642  0.1857  0.10
Indjic 1988   47  0.3955  0.0049  0.0653  0.0656  0.0766  0.06
Kapell 1951   25  0.429  0.0216  0.1122  0.4221  0.4026  0.41
Kissin 1993   73  0.2941  0.0071  0.0467  0.0458  0.0673  0.05
Kushner 1989   69  0.3059  0.0075  0.0387  0.0356  0.0579  0.04
Luisada 1991   42  0.4048  0.0044  0.0742  0.1441  0.2443  0.18
Lushtak 2004   64  0.3222  0.0076  0.0474  0.0446  0.0676  0.05
Malcuzynski 1961   43  0.4079  0.0057  0.0466  0.0436  0.1961  0.09
Magaloff 1978   50  0.3839  0.0045  0.0650  0.0636  0.3049  0.13
Magin 1975   52  0.3763  0.0062  0.0561  0.0535  0.3350  0.13
Michalowski 1933   19  0.4413  0.0121  0.0924  0.3811  0.5423  0.45
Milkina 1970   41  0.4033  0.0012  0.0914  0.508  0.6512  0.57
Mohovich 1999   10  0.4826  0.008  0.147  0.587  0.676  0.62
Moravec 1969   8  0.504  0.134  0.294  0.671  0.774  0.72
Morozova 2008   38  0.4030  0.0048  0.0652  0.0671  0.0474  0.05
Neighaus 1950   3  0.542  0.152  0.212  0.742  0.753  0.74
Niedzielski 1931   55  0.3645  0.0061  0.0565  0.0541  0.1760  0.09
Ohlsson 1999   5  0.5219  0.017  0.126  0.5912  0.6010  0.59
Osinska 1989   2  0.563  0.143  0.263  0.692  0.802  0.74
Pachmann 1927   20  0.4449  0.0043  0.0541  0.1426  0.4836  0.26
Paderewski 1930   51  0.3856  0.0063  0.0557  0.0536  0.3251  0.13
Perlemuter 1992   11  0.4832  0.0020  0.0821  0.4212  0.6615  0.53
Pierdomenico 2008   58  0.3650  0.0052  0.0558  0.0522  0.3947  0.14
Poblocka 1999   62  0.3454  0.0039  0.0636  0.2032  0.3039  0.24
Rabcewiczowa 1932   59  0.368  0.0313  0.0825  0.3718  0.6519  0.49
Rachmaninoff 1923   66  0.3175  0.0053  0.0472  0.0436  0.2159  0.09
Rangell 2001   37  0.4067  0.0026  0.0919  0.457  0.5420  0.49
Richter 1976   13  0.4743  0.0050  0.0746  0.0744  0.2848  0.14
Rosen 1989   7  0.5129  0.006  0.115  0.627  0.665  0.64
Rosenthal 1930   75  0.2468  0.0074  0.0382  0.0350  0.0680  0.04
Rosenthal 1931   85  0.1287  0.0086  0.0379  0.0363  0.0484  0.03
Rosenthal 1931b   84  0.1483  0.0084  0.0385  0.0361  0.0487  0.03
Rosenthal 1931c   80  0.2280  0.0078  0.0477  0.0451  0.0583  0.04
Rosenthal 1931d   87  0.1088  0.0080  0.0378  0.0348  0.0682  0.04
Rossi 2007   86  0.1271  0.0087  0.0384  0.0346  0.0677  0.04
Rubinstein 1939   46  0.3916  0.0135  0.0834  0.228  0.4532  0.31
Rubinstein 1952   18  0.4418  0.0110  0.108  0.565  0.668  0.61
Rubinstein 1966   15  0.4681  0.0017  0.1513  0.528  0.4918  0.50
Schilhawsky 1960   28  0.4217  0.0159  0.0475  0.0412  0.5346  0.15
Shebanova 2002   33  0.4142  0.0051  0.0560  0.0548  0.0964  0.07
Smith 1975   24  0.4320  0.0128  0.0727  0.3212  0.6124  0.44
Sokolov 2002   12  0.4831  0.0014  0.0812  0.524  0.709  0.60
Sztompka 1959   45  0.3951  0.0036  0.0531  0.2638  0.2637  0.26
Tomsic 1995   61  0.3523  0.0040  0.0739  0.1621  0.3141  0.22
Uninsky 1932   14  0.4610  0.0115  0.1015  0.4920  0.4521  0.47
Uninsky 1971   21  0.4424  0.0018  0.1016  0.488  0.5217  0.50
Wasowski 1980   48  0.3964  0.0046  0.0655  0.0641  0.2354  0.12
Zak 1937   30  0.4212  0.0122  0.0729  0.3015  0.5327  0.40
Zak 1951   26  0.427  0.0323  0.1328  0.3111  0.6125  0.43
Random 1   89  -0.0457  0.0089  0.0189  0.0178  0.0290  0.01
Random 2   88  -0.0190  0.0088  0.0288  0.0260  0.0585  0.03
Random 3   90  -0.0584  0.0090  0.0190  0.0155  0.0389  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).